MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,914 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,914 works in the cohort · of 4,299,418page 36 of 39

Labels cover 1,914 of 1,914 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,914 of 1,914 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affgemma · metaresearchgpt · no categorymodels split
Peer Review #2 of "Public awareness of seafood mislabeling (v0.1)"
Savannah Ryburn, Wilker M. Ballantine, Florencia M. Loncan, Olivia Manning, Meggan A. Alston, Blaire Steinwand +1 more
2022· peer-review· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
aboutno affgemma · scholarly_communicationgpt · metaresearch+scholarly_communicationmodels split
RESEARCH REFLECTIONS: Communicating your research
Jennifer Stephens
2017· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Health Professions
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affgemma · open_science+metaresearchgpt · no categorymodels split
SSEA Preregistration Workshop
2019· other· en· OSF Preprints (OSF Preprints)
machine prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · none
0
citations
affno abstractgemma · bibliometrics+metaresearchgpt · bibliometrics+metaresearchmodels agree
Exploring citation behavior of national self-references
L. Z. Chen, Jielan Ding, Vincent Larivière, Xiwen Liu
2025· article· en· Scientometrics· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affgemma · metaresearchgpt · metaresearch+scholarly_communicationmodels split
Altmetrics Data Quality Code of Conduct
2016· article· en· Lincoln (University of Nebraska)· Computer Science
machine prediction:candidate · metaresearch+bibliometricsconsensus · metaresearch
0
citations

How this was built: Screen · Findings · About